Environmental scientists develop climate and ecology problems and review AI-generated scientific reasoning for accuracy. It suits Master's or PhD-level researchers who want their domain knowledge used in AI evaluation.
About the role
Climate Data Specialist (AI Training)
About the Role
What if your expertise in climate science could directly shape how AI understands one of the most critical challenges facing our planet? We're looking for environmental science specialists to develop advanced, real-world problems in climate modeling, ecology, and sustainability — helping train the next generation of AI models to reason with scientific precision.
This is a fully remote, flexible contract role built for Masters and PhD-level researchers who want to put their deep domain knowledge to work on something genuinely impactful — without leaving behind the rigor and intellectual challenge they thrive on.
- Organization : Alignerr
- Type : Hourly Contract
- Location : Remote
- Commitment : 10–40 hours/week
- Commitment : 10–40 hours/week
- Design, solve, and review advanced environmental science problems with real-world relevance and scientific depth
- Apply your expertise in climate modeling, ecology, sustainability, or related fields to construct complex, meaningful problem statements
- Evaluate AI-generated scientific reasoning for accuracy, rigor, and clarity
- Collaborate asynchronously with AI researchers and fellow domain experts to push the boundaries of what AI can understand in your field
- Ensure all deliverables meet a high standard of scientific integrity and communicative clarity
- Ensure all deliverables meet a high standard of scientific integrity and communicative clarity
- Masters or PhD in Environmental Science, Climate Science, Ecology, or a closely related field
- Deep expertise in at least one of: climate modeling, ecology, environmental sustainability, or earth systems science
- Proficient in Python or R for research or data analysis
- Exceptionally strong written communicator — you can explain complex science clearly and precisely
- Detail-oriented, rigorous, and self-directed when working independently
- Fluent in English
- Fluent in English
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Background in scientific writing, peer review, or curriculum development
- Familiarity with AI tools or language model evaluation as an end user
- Experience communicating complex environmental science to interdisciplinary audiences
- Experience communicating complex environmental science to interdisciplinary audiences
- Work on cutting-edge AI projects alongside leading AI research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, intellectually stimulating work
- Apply your scientific expertise to a domain where it creates lasting, real-world impact
- Potential for ongoing work and contract extension as new projects launch
Official source: alignerr.com. Details can change; the platform's page is the final word. Something wrong with this listing? Tell us.
More AI evaluation and rating jobs All Alignerr roles How Alignerr screens applicants Jobs in US
